plot.lm
style diagnostic plots for
the results of constrained ordination from cca
,
rda
and capscale
. Normally you do not need
these plots, because ordination is descriptive and does not
make assumptions on the distribution of the residuals. However, if
you permute residuals in significance tests (anova.cca
),
you may be interested in inspecting that the residuals really are
exchangeable and independent of fitted values.ordiresids(x, kind = c("residuals", "scale", "qqmath"),
residuals = "working", type = c("p", "smooth", "g"),
formula, ...)
"residuals"
plot residuals
against fitted values, "scale"
the square root of absolute
residuals against fitted values, and "qqmath"
the residuals
against expected distribution (defaults fitted.cca
with alternatives
"working"
and "response"
.Fitted
, Residuals
, Species
and
Sites
(provided that names of species and sites are available
in the ordination result).Lattice
object that can
displayed as plot.plot.lm
, but they
use Lattice
functions
xyplot
and qqmath
. The
alternatives have default formulae but these can be replaced by the
user. The elements available in formula or in the groups
argument
are Fitted
, Residuals
, Species
and Sites
.plot.lm
, Lattice
,
xyplot
, qqmath
.data(varespec)
data(varechem)
mod <- cca(varespec ~ Al + P + K, varechem)
ordiresids(mod)
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